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Articles by X Xiao
Total Records ( 2 ) for X Xiao
  X Guo , X Xiao , S Li , P Wang , X Jia and Q. Zhang
 

Objective  To identify the genetic locus for X-linked nonsyndromic high myopia in a large Chinese family.

Methods  Phenotypic information and DNA samples were collected from 19 individuals in a Chinese family; 7 had high myopia and 12 were unaffected. We performed a linkage scan on the X chromosome and sequenced several candidate genes.

Results  High myopia in this family, presenting since early childhood and ranging from –6.00 to –15.00 diopters of sphere, is consistent with an X-linked recessive trait. The presence of a normal optic disc and the absence of color visual defects and other systemic abnormalities indicated that high myopia in this family is nonsyndromic. Our linkage analysis mapped the disease locus to Xq28, a 6.1-cM region between DXS8069 and Xqter, with 2-point logarithm of odds scores greater than 2.0 for 5 markers and a maximum logarithm of odds score of 3.59 at  = 0 for 2 markers. Sequence analysis of coding and adjacent intronic regions of GPR50, PRRG3, CNGA2, and BGN did not identify any potential causative mutation.

Conclusions  Nonsyndromic high myopia in a Chinese family was mapped to the MYP1 region, which confirmed and refined this region for high myopia. In addition, our results suggest that color visual defects and optic disc hypoplasia are not necessary signs of high myopia attributed to the MYP1 region.

Clinical Relevance  MYP1 is a common and the best locus for positional cloning of the gene responsible for high myopia. Our results suggest that MYP1 is also responsible for nonsyndromic high myopia.

  W. Z Lin , X Xiao and K. C. Chou
 

G-protein-coupled receptors (GPCRs) play fundamental roles in regulating various physiological processes as well as the activity of virtually all cells. Different GPCR families are responsible for different functions. With the avalanche of protein sequences generated in the postgenomic age, it is highly desired to develop an automated method to address the two problems: given the sequence of a query protein, can we identify whether it is a GPCR? If it is, what family class does it belong to? Here, a two-layer ensemble classifier called GPCR-GIA was proposed by introducing a novel scale called ‘grey incident degree’. The overall success rate by GPCR-GIA in identifying GPCR and non-GPCR was about 95%, and that in identifying the GPCRs among their nine family classes was about 80%. These rates were obtained by the jackknife cross-validation tests on the stringent benchmark data sets where none of the proteins has ≥50% pairwise sequence identity to any other in a same class. Moreover, a user-friendly web-server was established at http://218.65.61.89:8080/bioinfo/GPCR-GIA. For user's convenience, a step-by-step guide on how to use the GPCR-GIA web server is provided. Generally speaking, one can get the desired two-level results in around 10 s for a query protein sequence of 300–400 amino acids; the longer the sequence is, the more time that is needed.

 
 
 
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